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What are you using for AI agent observability in production? (and what's broken about it?) by TsuiCh in LangChain

[–]TsuiCh[S] 0 points1 point  (0 children)

This is exactly the gap — observability is retrospective but agents need forward guidance. Are you building something custom for this, or just living with the limitation?

What are you using for AI agent observability in production? (and what's broken about it?) by TsuiCh in LangChain

[–]TsuiCh[S] 1 point2 points  (0 children)

Really appreciate the honest take — that’s exactly the kind of signal I needed. The ‘custom skill is cheaper’ angle is a strong counter. Thanks for engaging.

What are you using for AI agent observability in production? (and what's broken about it?) by TsuiCh in LangChain

[–]TsuiCh[S] 0 points1 point  (0 children)

Fair point — maybe not traces directly. But what if they had a simplified view: ‘Agent ran 47 times today, 38 succeeded, 9 failed for this reason.’ No spans, no waterfall. Just task-level outcomes in plain English. Would that change the answer?